Skip to content

ederson-souza/CTU-MALWARE-CAPTURE-BOTNET-42

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 

Repository files navigation

CTU-MALWARE-CAPTURE-BOTNET-42

LightGBM to predict Malware using CTU-13 Repository

Data is avaliable here: https://mcfp.weebly.com/ctu-malware-capture-botnet-42.html

File: Netflow - capture20110810.pcap.netflow.labeled

Main packages:

  • Numpy, Pandas
  • Matplotlib 3.1.2 (latest) - pip install matplotlib
  • Sklearn
  • SHAP (Feature Importance) - pip install shap
  • Category Encoders - pip install category_encoders
  • LightGBM - pip install lightgbm
  • Scikit-Optimize - pip install scikit-optimize

About

LightGBM to predict Malware using CTU-13 Repository

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published